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Framing poor diet quality as malnutrition: the Brazilian National Survey on Child Nutrition (ENANI-2019).

Gyorgy ScrinisInês Rugani Ribeiro de Castro
Published in: Cadernos de saude publica (2023)
Based on the Brazilian National Survey on Child Nutrition (ENANI-2019) results, this article reflects on the adequacy of the "malnutrition in all its forms" framework and system of classification for representing and interpreting these dietary transitions in Brazilian children. We highlight the limitations of this classification system, including the focus on health outcomes and anthropometric measures, the siloed understanding of these forms of malnutrition, the lack of relevance of the obesity category to children under 5 years old, and the failure to adequately address the various measures of poor quality diets captured by ENANI-2019. As an alternative, based on an approach developed by Gyorgy Scrinis to reframing malnutrition in all its forms, we suggest a need for frameworks that focus on describing and classifying the nature of, and changes to, dietary patterns, rather than focused on health outcomes.
Keyphrases
  • weight loss
  • physical activity
  • young adults
  • mental health
  • metabolic syndrome
  • type diabetes
  • machine learning
  • insulin resistance
  • deep learning
  • quality improvement
  • body composition
  • weight gain